Port of a popular ruby faker gem written in kotlin. Generate realistically looking fake data such as names, addresses, banking details, and many more, that can be used for testing and data anonymization purposes.

COMPLETE OSINT CHEAT-SHEET

A simple Metadata Removal Tool for images and videos using exiftool and ffmpeg in C and Python3.

Niffler: A DICOM Framework for Machine Learning and Processing Pipelines.

Desktop App with Built-In LLM for Removing Personal Identifiable Information in Documents

Neuralyzer is a library and a command line tool to anonymize databases (by updating existing data or populating a table with fake data)

Research Data Management Platform (RDMP) is an open source application for the loading,linking,anonymisation and extraction of datasets stored in relational databases.

Implementation of Emo-StarGAN

Repertoire sur l'anonymisation

Tor VPN

Helpers and tools for Python and web-development with Django

Deprecated Ambient Toolbox (use ambient-toolbox)

Implementation of the Open Diffix anonymization mechanism for PostgreSQL.

A tool for detecting identifiable information in data sources (CSV, DICOM, Relational Database and MongoDB)

Python implementation of the SynDiffix synthetic data generation mechanism.

Simple customizable pipeline tool for anonymizing Danish text.

Anonymisation of Sensitive Data in Public Documents

🙈 Go package for anonymizing text. Removes all kinds of PII: names, places, phone numbers, etc.

Anonymising tweet downloader that uses the Twitter Academic API full-archive search

Anonymises data inside text files and in sheet files. It recognises and removes various sorts of personally identifiable information (PII). Each removed part is replaced with suitable pseudonyms, depending on the type of removed data. Currently English and Russian languages are supported. Russian works both with Cyrillic and Latin characters.